Activity 01
Classroom Data Collection: Favorite Colors
Students survey classmates about their favorite colors, tally the results, and then calculate the mean number of votes per color. This involves summing the votes for each color and dividing by the number of colors surveyed.
How does one very high or very low number affect the average of a group?
Facilitation TipBefore the Arm Span Averages activity, remind pairs to measure accurately to two decimal places to highlight precision in data collection.
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Activity 03
Real-World Averages: Sports Statistics
Present students with simple sports statistics, such as points scored by players on a team over several games. Students work individually to calculate the mean points scored per game for each player and then compare their performance.
Explain the steps to calculate the mean of a small data set.
Facilitation TipFor the Jump Distance Poll, use a whiteboard to record each student’s distance visibly so the class can see the data set grow.
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Generate Complete Lesson→A few notes on teaching this unit
Teach the mean as a tool for comparison, not just a calculation. Start with small, easily measured data sets to avoid overwhelming students. Use peer discussion to correct misconceptions immediately, such as when a student insists the mean must be one of the numbers. Avoid rushing to the formula—instead, emphasize the process of adding and dividing to build number sense.
Students will confidently calculate the mean using clear steps and explain how outliers change the result. They will compare means across unequal groups and justify why the mean is useful for fair comparisons. Group discussions should reveal that means often fall outside the original data set.
Watch Out for These Misconceptions
During Arm Span Averages, watch for students who expect the mean to match one of their measurements exactly.
After measuring, have pairs list their data and calculate the mean together. Ask them to compare their result to their own arm span and discuss why it rarely matches exactly.
During Outlier Challenges, watch for students who believe a single high or low value has little effect on the mean.
Ask groups to add one extreme value to their data set and recalculate the mean. Then, have them present how the outlier shifted the mean and why this matters for comparing groups.
During Jump Distance Poll, watch for students who confuse the mean with the median or mode.
After polling, ask students to sort the distances from least to greatest and circle the middle value to identify the median. Have them compare this to their calculated mean to see the difference.
Methods used in this brief